AIeroLab project: an experimental framework to characterize and optimize aerodynamic performances of an airfoil

Study project made by Théo Vidal during the first year of Master of Engineering at ENSTA Paris

Full report

Three parts are attached to this project :

• A Physics-Informed Neural Network (PINN) to calculate the flow around an airfoil, and optimize its geometry to maximise its performances
• 3D printing of wing profiles which performances are characterized using physical experiments
• An analysis of the previous experiments to verify predictions and automatically characterize the flow and exerted forces

For more details, see the full report.

📜 Credits

• Work done by Théo Vidal at the Unité de Mécanique (UME) of ENSTA
• Project logo generated by ChatGPT 4o
• All other references are in the Bibliography section of the project report